
Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Data Manipulation f
Interactive Video
•
Information Technology (IT), Architecture
•
University
•
Practice Problem
•
Hard
Wayground Content
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10 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the first step in extracting the title from the data?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
How do we differentiate between the year and the title in the dataset?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
What should be done if a movie does not have a year in the dataset?
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
How do we extract the year from the title?
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5.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the purpose of the if statement when checking the year?
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6.
OPEN ENDED QUESTION
3 mins • 1 pt
What happens if the year is not numeric?
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7.
OPEN ENDED QUESTION
3 mins • 1 pt
What are the two functions discussed for extracting titles and years?
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